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We are looking for a hands-on Lead Product Manager to own the end-to-end product lifecycle from concept through development and launch - across both our SaaS platform and marketplace.
This role works closely with the CEO, Sales, and VP of R&D to translate business needs into scalable product solutions. Beyond traditional product management, we are specifically looking for someone who deeply understands how to implement AI into real-world products, actively uses AI tools in their personal workflow, and can lead teams in adopting AI-first product thinking and execution.
You will be responsible for managing technical requirements, product-market fit, AI-driven workflows, ERP integrations, and product strategy while maintaining a strong understanding of procurement, manufacturing, and logistics domains.
The ideal candidate is product-driven, execution-focused, highly technical, AI-oriented, and thrives in fast-paced, early-stage environments.
Product Ownership: Own and drive the full product roadmap - from ideation to execution - across SOURCIX’s SaaS and Marketplace platforms.
AI Product Leadership: Lead the implementation of AI capabilities across the platform, including workflow automation, intelligent matching systems, AI-assisted user experiences, data analysis, and operational optimization.
AI Culture & Adoption: Guide internal teams in adopting AI tools and AI-first work methodologies. Help create a culture where AI is integrated into product thinking, execution, research, and day-to-day operations.
Cross-Functional Collaboration: Work closely with the CEO, Sales, and VP of R&D to align product initiatives with company goals and customer needs.
Customer & Market Insights: Engage with users, prospects, and internal stakeholders to gather insights and translate them into detailed user stories, product specifications, and scalable workflows.
ERP Integration: Lead the development of integrations with enterprise systems (Oracle, SAP, NetSuite, etc.), ensuring seamless data flow and customer experience.
Technical Communication: Translate business needs into technical requirements and work directly with engineering and design teams to bring features to life.
Product Validation: Run discovery, validation, and testing cycles to ensure strong product-market fit, usability, and customer satisfaction.
Process & Delivery: Ensure efficient sprint planning, backlog grooming, prioritization, and timely delivery of features in partnership with engineering teams.
Performance Tracking: Use data and analytics to monitor product performance, identify optimization opportunities, and drive continuous improvement.
Requirements
5+ years of experience in Product Management within a B2B SaaS company.
Proven experience working with ERP systems like Oracle, SAP, NetSuite (must-have).
Strong understanding of AI tools, AI workflows, and implementing AI into software products.
Personal hands-on usage of AI tools for productivity, research, automation, product development, or operational workflows.
Ability to guide and mentor teams in adopting AI technologies and AI-driven work processes.
Background or strong familiarity with procurement, manufacturing, supply chain, or logistics.
Strong understanding of technical systems and the ability to communicate effectively with engineering teams.
Experience defining and delivering products in fast-paced startup environments.
Ability to manage complex projects independently, balance multiple priorities, and lead cross-functional initiatives.
Excellent written and verbal communication skills with strong business and customer empathy.
Highly organized, analytical, execution-oriented, and product-focused.
Nice to have
Experience working with mechanical or industrial procurement platforms.
Understanding of custom manufacturing processes (machining, sheet metal, casting, etc.).
Previous experience in a company that scaled from early stage to growth.
Familiarity with marketplace platforms or two-sided product ecosystems.
Strong UX/UI understanding and product discovery skills.
Experience building AI-native or AI-first products.
Familiarity with LLMs, AI agents, automation tools, and AI-assisted product workflows.